Research on LRP Integration of E-Commerce Logistics under the Background of Integration of Collection and Distribution

Author:

Li Jiali12,Zhao Zhijie1,Cheng Tao1ORCID

Affiliation:

1. Northeast Asia Service Outsourcing Research Center, Harbin University of Commerce, Harbin 150028, Heilongjiang, China

2. College of Economics and Management, Heilongjiang Institute of Technology, Harbin 150050, Heilongjiang, China

Abstract

The distribution network composed of location and route is an important part of e-commerce logistics. With the continuous improvement of e-commerce requirements for logistics level, the practice of planning logistics network only from the perspective of the network location or the vehicle route can no longer meet the actual demand. In addition to the comprehensive consideration of the location-routing problem, the reverse logistics caused by customers’ returning goods should be taken into account. In this paper, the destruction and reorganization strategy of adaptive large-scale neighborhood search algorithm was introduced into the traditional genetic algorithm, so as to conduct research on the logistics location-routing problem under the background of integration of collection and distribution. Finally, the effectiveness of the optimized genetic algorithm was verified by Matlab tools and the existing bench-marking data set of the location-routing problem, which provided reference for the planning and decision-making of logistics enterprises.

Funder

Chinese National Funding of Social Sciences

Publisher

Hindawi Limited

Subject

Modeling and Simulation

Reference19 articles.

1. Factors Affecting the Efficiency and Effectiveness of Reverse Logistics Process

2. Stochastic frontier analysis of logistics efficiency and its influencing factors in provinces along the “belt and road”;H. Wang;Journal of Highway and Transportation Research and Development,2020

3. Multi-level logistics center location based on harmony search algorithm;Z. Tang;Logistics Technology,2019

4. SMA for solving the location problem of logistics distribution center;X. Xu;Computer Engineering and Applications,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3